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When Are Tree Structures Necessary for Deep Learning of Representations?
Jiwei Li
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Thang Luong
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Dan Jurafsky
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Eduard Hovy
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Paper Details:
Month: September
Year: 2015
Location: Lisbon, Portugal
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Effective LSTMs for Target-Dependent Sentiment Classification
Duyu Tang
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Bing Qin
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Xiaocheng Feng
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Ting Liu
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Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation
Wang Ling
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Chris Dyer
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Alan W Black
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Isabel Trancoso
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Ramón Fermandez
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Silvio Amir
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Luís Marujo
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Tiago Luís
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On Tree-Based Neural Sentence Modeling
Haoyue Shi
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Hao Zhou
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Jiaze Chen
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Lei Li
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Large-scale Opinion Relation Extraction with Distantly Supervised Neural Network
Changzhi Sun
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Yuanbin Wu
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Man Lan
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Shiliang Sun
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Qi Zhang
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What Do Recurrent Neural Network Grammars Learn About Syntax?
Adhiguna Kuncoro
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Miguel Ballesteros
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Lingpeng Kong
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Chris Dyer
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Graham Neubig
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Noah A. Smith
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Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder
Huadong Chen
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Shujian Huang
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David Chiang
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Jiajun Chen
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TDNN: A Two-stage Deep Neural Network for Prompt-independent Automated Essay Scoring
Cancan Jin
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Ben He
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Kai Hui
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Le Sun
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https://code.google.com/p/word2vec/
http://cs.umd.edu/
Field Of Study
Linguistic Trends
Discourse
Embeddings
Task
Discourse Parsing
Machine Translation
Approach
Representation Learning
Language
English
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